High-throughput, cycle-level neural signal analytics validated on clinical-scale iEEG data for biomarker discovery in human cognition.
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Updated
Dec 14, 2025 - MATLAB
High-throughput, cycle-level neural signal analytics validated on clinical-scale iEEG data for biomarker discovery in human cognition.
Highly comparative time-series analysis
Classical and Quantum Topology Machine Learning and Stochastic Computation: Spherical and Hyperbolic Toric Topologies Code on the Graph based Feature Spectral Embedding for CNN, Transformer and Diffusions. Stochastic Computation using RBIM and Restricted Boltzmann Machine
A real-time music genre classification system that combines classical machine learning techniques with a CNN trained on mel-spectrograms. The hybrid model utilizes DSP-based feature extraction and ensemble learning to achieve high accuracy and low latency for practical audio applications.
geometric shape detection with dual approach
Solution to the "Image Analysis and Computer Vision"@ PoliMi homework 24/25. 3d scene reconstruction from an image + priors
Pretrained XFeat(Accelerated Features for Lightweight Image Matching) MATLAB Model
MATLAB project for identifying gastrointestinal abnormalities in endoscopic images using CNNs
This repository contains extensive tools and scripts for processing and analyzing neurophysiological signals. The primary focus is on various critical aspects of neurophysiological data handling, including spike detection, feature extraction, clustering, and firing rate analysis.
MATLAB implementation for lie detection using EEG signals. It uses wavelet-based feature extraction, Variational Mode Decomposition (VMD), advanced feature selection, and ensemble classifiers to detect deception from multi-channel EEG data.
This repository is the open source code for our latest feasibility work: "Human Anomalous Gait Termination Recognition Via Through-the-Wall Radar Based on Micro-Doppler Corner Features and Non-Local Mechanism", published on Journal of Radars ("基于微多普勒角点特征与Non-Local机制的穿墙雷达人体步态异常终止行为辨识技术", 雷达学报).
Perform stability selection in matlab using a variety of feature selection methods
ACO Feature Extraction
Neural Gas Network Image Features and Segmentation for Brain Tumor Detection Using Magnetic Resonance Imaging Data
Persian Classical Music Instrument Recognition (PCMIR) Using a Novel Persian Music Database
Graph Analysis of Brain Connections in Epilepsy Patients
This repository contains MATLAB scripts for performing advanced image processing techniques, including gray-level slicing (with and without background) and bit-plane slicing on grayscale images. These transformations help in analyzing image intensity variations and highlighting specific features.
Crack detection pipeline using traditional image processing techniques and Support Vector Machine (SVM) classification.
AI & BC Course Project
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